High-Accuracy Image Rotation and Scale Estimation Using Radon Transform and Sub-Pixel Shift Estimation

Takanori Fujisawa, Masaaki Ikehara

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


Rotation and scale estimation of images are fundamental tasks in image registration. The conventional estimation method uses log-polar transform and 1D shift estimation to estimate rotation and scale regardless of the shift of images. However, this transform requires interpolation of the frequency components, which causes estimation error. We propose a rotation and scale estimation algorithm based on the Radon transform and sub-pixel shift estimation. The Radon transform can estimate the rotation independent of the shift and can reduce the influence of interpolation error. In addition, sub-pixel shift estimation using a linear approximation of the phase component improves the precision of 1D shift estimation and achieves accurate rotation estimation. The proposed method was evaluated on test images, and the results demonstrate that the proposed method has higher accuracy compared with the log-polar transform.

Original languageEnglish
Article number8643346
Pages (from-to)22719-22728
Number of pages10
JournalIEEE Access
Publication statusPublished - 2019


  • Image registration
  • phase only correlation
  • rotation estimation
  • scale estimation

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering


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